This repository contains the implementation of a Reinforcement Learning (RL) trading agent that utilizes Proximal Policy Optimization (PPO), built using Stable Baselines3. The agent is designed to dynamically adjust its portfolio based on market signals and trends from S&P 500 data.
active 2024-09-18 → 2025-02-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 164 days from 2024-09-18 to 2025-02-28. Pushes: 8 total, peak 5 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| ArnavJ19 | 11 | 8 | 2 | 1 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.